Simplify

Make complex data easier for customers and teams to use.

Use the data your business already holds to make complex user and customer journeys easier — less friction, faster journeys, experiences that feel effortless.

Citric Sheep builds data access layers for companies with complex maps, dashboards, portals, and data products, especially where valuable data sits behind layers, filters, and workflows that slow customers and internal teams down.

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Where we start

Answer-Layer Blueprint

US$18,000 fixed · 2 weeks

Choose one customer workflow and establish whether an answer layer is worth building.

A baseline of support load and customer tasks, with the value of improving them
A map of data sources, permissions, and technical constraints
A draft 40-question acceptance set, a fixed launch quote, and a written build/no-build recommendation

A standalone diagnostic. You keep the blueprint and can stop there. The build recommendation requires payback within 24 months of launch, after ongoing costs.

Good fit

For data products customers value but struggle to use.

This is strongest when a company already has valuable data and real users, but customers or internal teams still depend on support, training, custom reports, or expert interpretation to get useful answers.

Esri partners and ArcGIS product owners
Geospatial, environmental, infrastructure, utility, risk, planning, and property data companies
B2B data platforms with complex dashboards, portals, maps, reports, or analytics products
Product teams improving customer self-service, onboarding, adoption, or retention

When it matters

Customers need answers without extra help.

The strongest prospects can point to a real gap between having the data and customers being able to use it without help.

Customers need training before they can get value from maps, dashboards, portals, or reports

Support and customer success teams answer the same data-access questions again and again

Users ask for custom reports because the existing interface is hard to interrogate

The product has valuable layers, records, filters, or datasets that non-technical users cannot easily use

What we build

Built as a data access layer.

A data access layer answers from known datasets, APIs, maps, records, and business logic, with traceability and constraints built in from the start.

A question bank based on real support, sales, onboarding, or product conversations
A data access map covering layers, records, permissions, APIs, documents, and constraints
A working data access layer over one high-value dataset or workflow
Grounded answers with source references, structured outputs, and clear out-of-scope handling
An evaluation set and production roadmap for expanding the data access layer safely

Choose the first workflow

We pick one valuable dataset, customer problem, or recurring question set so the first engagement is narrow enough to prove.

Map the sources

We review the layers, records, related tables, permissions, documents, APIs, and data-quality constraints that answers need to respect.

Build the answer layer

We create a working interface where users ask questions and receive grounded answers linked back to known sources.

Test and expand

We use an evaluation set to separate what works now, what is out of scope, and what should be added in the production build.

If you proceed

A launch with acceptance tests agreed up front.

If the blueprint supports a build, the Cited Self-Serve Launch is US$144,000 over 13 weeks: US$162,000 including the preceding two-week blueprint. Optional Answer Ops support is US$6,000–12,000 per month; hosting, model usage, and client operating effort also belong in the payback calculation.

Acceptance and guarantees

The evaluation milestone requires at least 85% on 40 jointly agreed questions, with expected answers, clarification, and abstention behaviour defined. Your engineer can rerun the tests.
The final US$36,000 is held until five pilot customers each complete at least 80% of the agreed tasks unassisted. If the test fails, we correct the failed workflows, capped at 12 person-days, and retest once. If it still fails with your agreed obligations met, that tranche is waived.
You provide data access, product-engineering support, and at least 12 suitable pilot-customer candidates plus outreach permission by week six. We manage recruitment. Customer no-shows are replaced; if fewer than five complete on time despite a conforming list, we extend testing by 30 days at our cost.

Start with one dataset, one workflow, and one question set.

Start with the Answer-Layer Blueprint: US$18,000 fixed over 2 weeks, with a written recommendation and a scoped next step.

Discuss your answer-layer blueprint